Evidence map›Paper›PMID 42170687›Full record

ArticleJournal of adolescence2026

Nonlinear Relations Between Resting Heart Rate Measures and Health Risk Behavior in Emerging Adulthood.

Derek P Spangler, Nina Lauharatanahirun

Abstract read
In one paragraph

Article in Journal of adolescence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Derek P SpanglerDepartment of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7172-9083
Nina LauharatanahirunDepartment of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-8229-1099

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionResting heart rate (HR) measures reflect autonomic processes that could predict health risk behavior (HRB) in emerging adulthood when risky behavior is prominent. However, prior studies and extant theories are inconsistent, such that the relationships between HR measures and HRB could be positive or negative in direction. To reconcile these inconsistencies, we predicted that positive and negative relations between HR measures and HRB propensity exist together in a quadratic function.

methodsThe current study tested this nonlinear hypothesis in a sample of young adults (N = 89, Mean Age = 21 years, 66% Female) who completed three separate resting baseline periods. ECG was recorded throughout to compute mean HR and high-frequency heart rate variability (HF-HRV) as partial and pure indices of resting vagal activity, respectively. HRB propensity was self-reported on the health/safety and recreational subscales of the Domain-Specific Risk-Taking questionnaire.

resultsResting HR and HF-HRV each exhibited quadratic associations with HRB propensity that were statistically separate from one another. In all functions, moderate levels of mean HR or HF-HRV were related to a reduced propensity for risk-taking behavior.

conclusionsFindings suggest two potential pathways by which heart rate measures might contribute to HRB in emerging adulthood: one through heightened vagal activity, which may signal under-arousal, and the other through reduced vagal activity, which may reflect deficient self-regulation.

Indexed as

Health Risk BehaviorsHeart RateAdolescentElectrocardiographyFemaleHumansMaleRestYoung Adult

Identifiers

PMID42170687
PMCPMC13338657

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.